Skip to main content

Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference

Project description

Torch Model Archiver is a tool used for creating archives of trained neural net models that can be consumed by TorchServe inference.

Use the Torch Model Archiver CLI to start create a .mar file.

Torch Model Archiver is part of TS. However, you can install Torch Model Archiver stand alone.

Detailed documentation and examples are provided in the README.

Installation

pip install torch-model-archiver

Source code

You can check the latest source code as follows:

git clone https://github.com/pytorch/serve.git

Citation

If you use torchserve in a publication or project, please cite torchserve: https://github.com/pytorch/serve

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for torch-model-archiver, version 0.3.0
Filename, size File type Python version Upload date Hashes
Filename, size torch_model_archiver-0.3.0-py2.py3-none-any.whl (14.1 kB) File type Wheel Python version py2.py3 Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page